Professor Yang, Yanchao 楊言超
Professor Yang, Yanchao 楊言超
| Year | Awarding Institution | Qualification |
|---|---|---|
| 2019 | University of California, Los Angeles | Ph.D. in Computer Science |
| 2014 | King Abdullah University of Science and Technology | M.S. in Electrical Engineering |
| 2011 | University of Science and Technology of China | B.E. in Electronic Information Engineering |
Dr Yanchao Yang is an Assistant Professor in the Department of Electrical and Electronic Engineering (EEE) and the HKU Musketeers Foundation Institute of Data Science (HKU-IDS). Before joining HKU, he was a Postdoctoral Research Fellow at Stanford University with Prof. Leonidas J. Guibas at the Geometric Computation Group. He received his Ph.D. from the University of California, Los Angeles (UCLA), working with Prof. Stefano Soatto. Earlier, he obtained his Master’s and Bachelor’s degrees from KAUST and USTC, respectively. He researches at the intersection of computer vision, machine learning, and robotics, with a long-term goal in developmental embodied intelligence. He currently focuses on self-supervised and semi-supervised techniques that allow autonomous agents to learn perception and representation at low-annotation regimes for physical interactions in open environments.
Recently, his group aims to revolutionize scene representations for embodied intelligence by leveraging information-theoretic tools. He is constantly looking for talents with the ambition to build fundamentals for autonomous agents to learn from unlimited unlabeled data streams. This quest is related but not limited to computer vision and graphics, machine learning, communication and information theory, multimodal data mining, robotics, and human-machine interaction. Please send your CV to yanchaoy@hku.hk if you are interested in working in his group.
| Awardees | Award Date | Honours / Awards / Prizes | Category |
|---|---|---|---|
| 2024-03-08 | Alibaba Innovative Research Award | Research Achievement | |
| 2024-06-30 | Early Career Award | Research Achievement | |
| 2023-09-26 | Microsoft Accelerate Foundation Models Research Award | Research Achievement | |
| 2023-06-12 | Meta Research Award | Research Achievement |
| Term Period | Position | Professional Societies |
|---|---|---|
| 2/2022-now | Member | IEEE |
| 08/2023-now | Area Chair | CVPR |
| 12/2023-now | Area Chair | ECCV |
| 12/2022-now | Member | ACM |
| 01/2023-01/2024 | Local Chair | CPAL |
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